{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copyright 2021 NVIDIA Corporation. All Rights Reserved.\n",
    "#\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "#     http://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TF-TRT Dynamic shapes example: ResNetV2\n",
    "This notebook demonstrates how to use TF-TRT dynamic shape feature to generate a single engine with multiple optimization profiles, each optimized for a different batch size.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Requirements\n",
    "This notebook requires at least TF 2.5 and TRT 7.1.3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Verbose output\n",
    "# import os\n",
    "# os.environ[\"TF_CPP_VMODULE\"]=\"trt_engine_utils=2,trt_engine_op=2,convert_nodes=2,convert_graph=2,segment=2,trt_shape_optimization_profiles=2,trt_engine_resource_ops=2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pillow in /usr/local/lib/python3.6/dist-packages (8.1.2)\n",
      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (3.3.4)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.4.7)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.8.1)\n",
      "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.19.5)\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib) (1.15.0)\n",
      "\u001b[33mWARNING: You are using pip version 20.2.4; however, version 21.0.1 is available.\n",
      "You should consider upgrading via the '/usr/bin/python -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install pillow matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.python.compiler.tensorrt import trt_convert as trt\n",
    "import numpy as np\n",
    "from tensorflow.python.saved_model import signature_constants\n",
    "from tensorflow.python.saved_model import tag_constants\n",
    "from tensorflow.python.framework import convert_to_constants\n",
    "from tensorflow.keras.applications.resnet_v2 import ResNet50V2\n",
    "from timeit import default_timer as timer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load and save the TF model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/generic_utils.py:500: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.\n",
      "  category=CustomMaskWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:FOR KERAS USERS: The object that you are saving contains one or more Keras models or layers. If you are loading the SavedModel with `tf.keras.models.load_model`, continue reading (otherwise, you may ignore the following instructions). Please change your code to save with `tf.keras.models.save_model` or `model.save`, and confirm that the file \"keras.metadata\" exists in the export directory. In the future, Keras will only load the SavedModels that have this file. In other words, `tf.saved_model.save` will no longer write SavedModels that can be recovered as Keras models (this will apply in TF 2.5).\n",
      "\n",
      "FOR DEVS: If you are overwriting _tracking_metadata in your class, this property has been used to save metadata in the SavedModel. The metadta field will be deprecated soon, so please move the metadata to a different file.\n",
      "INFO:tensorflow:Assets written to: resnet_v2_50_saved_model/assets\n"
     ]
    }
   ],
   "source": [
    "model = ResNet50V2(weights='imagenet') \n",
    "tf.saved_model.save(model, 'resnet_v2_50_saved_model')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_func_from_saved_model(saved_model_dir):\n",
    "    saved_model_loaded = tf.saved_model.load(\n",
    "        saved_model_dir, tags=[tag_constants.SERVING])\n",
    "    graph_func = saved_model_loaded.signatures[\n",
    "        signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY]\n",
    "    return graph_func, saved_model_loaded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_and_benchmark_throughput(batched_input, model, N_warmup_run=50, N_run=500,\n",
    "                                     result_key='predictions', batch_size=None):\n",
    "    elapsed_time = []\n",
    "    all_preds = []\n",
    "    \n",
    "    if batch_size is None or batch_size > batched_input.shape[0]:\n",
    "        batch_size = batched_input.shape[0]\n",
    "    print('Benchmarking with batch size', batch_size)\n",
    "    \n",
    "    elapsed_time = np.zeros(N_run)\n",
    "    for i in range(N_warmup_run):                                             \n",
    "        preds = model(batched_input)\n",
    "    \n",
    "    # Force device synchronization\n",
    "    tmp = preds[result_key][0,0].numpy() \n",
    "    \n",
    "    for i in range(N_run):\n",
    "        start_time = timer()\n",
    "        preds = model(batched_input)\n",
    "        # Synchronize\n",
    "        tmp += preds[result_key][0,0].numpy() \n",
    "        end_time = timer()\n",
    "        elapsed_time[i] = end_time - start_time\n",
    "        all_preds.append(preds)\n",
    "\n",
    "        if i>=50 and i % 50 == 0:\n",
    "            print('Steps {}-{} average: {:4.1f}ms'.format(i-50, i, (elapsed_time[i-50:i].mean()) * 1000))\n",
    "\n",
    "    print('Latency: {:5.2f}+/-{:4.2f}ms'.format(elapsed_time.mean()* 1000, elapsed_time.std()* 1000))\n",
    "    print('Throughput: {:.0f} images/s'.format(N_run * batch_size / elapsed_time.sum()))\n",
    "    return all_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dummy_images(batch_size = 32, img_shape = [224, 224, 3]):\n",
    "    img=tf.random.uniform(shape=[batch_size] + img_shape, dtype=tf.float32)\n",
    "    print(\"Generated input random images with shape (N, H, W, C) =\", img.shape)\n",
    "    return img"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Input data\n",
    "Get some images from the web that will be used for testing the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘data’: File exists\n",
      "--2021-03-09 23:53:46--  https://d17fnq9dkz9hgj.cloudfront.net/breed-uploads/2018/08/siberian-husky-detail.jpg?bust=1535566590&width=630\n",
      "Resolving d17fnq9dkz9hgj.cloudfront.net (d17fnq9dkz9hgj.cloudfront.net)... 13.224.8.99, 13.224.8.140, 13.224.8.50, ...\n",
      "Connecting to d17fnq9dkz9hgj.cloudfront.net (d17fnq9dkz9hgj.cloudfront.net)|13.224.8.99|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 24112 (24K) [image/jpeg]\n",
      "Saving to: ‘./data/img0.JPG’\n",
      "\n",
      "./data/img0.JPG     100%[===================>]  23.55K  --.-KB/s    in 0.002s  \n",
      "\n",
      "2021-03-09 23:53:46 (10.9 MB/s) - ‘./data/img0.JPG’ saved [24112/24112]\n",
      "\n",
      "--2021-03-09 23:53:47--  https://www.hakaimagazine.com/wp-content/uploads/header-gulf-birds.jpg\n",
      "Resolving www.hakaimagazine.com (www.hakaimagazine.com)... 23.185.0.4, 2620:12a:8000::4, 2620:12a:8001::4\n",
      "Connecting to www.hakaimagazine.com (www.hakaimagazine.com)|23.185.0.4|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 452718 (442K) [image/jpeg]\n",
      "Saving to: ‘./data/img1.JPG’\n",
      "\n",
      "./data/img1.JPG     100%[===================>] 442.11K  --.-KB/s    in 0.03s   \n",
      "\n",
      "2021-03-09 23:53:47 (15.3 MB/s) - ‘./data/img1.JPG’ saved [452718/452718]\n",
      "\n",
      "--2021-03-09 23:53:47--  https://www.artis.nl/media/filer_public_thumbnails/filer_public/00/f1/00f1b6db-fbed-4fef-9ab0-84e944ff11f8/chimpansee_amber_r_1920x1080.jpg__1920x1080_q85_subject_location-923%2C365_subsampling-2.jpg\n",
      "Resolving www.artis.nl (www.artis.nl)... 94.75.225.20\n",
      "Connecting to www.artis.nl (www.artis.nl)|94.75.225.20|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 361413 (353K) [image/jpeg]\n",
      "Saving to: ‘./data/img2.JPG’\n",
      "\n",
      "./data/img2.JPG     100%[===================>] 352.94K   158KB/s    in 2.2s    \n",
      "\n",
      "2021-03-09 23:53:53 (158 KB/s) - ‘./data/img2.JPG’ saved [361413/361413]\n",
      "\n",
      "--2021-03-09 23:53:54--  https://www.familyhandyman.com/wp-content/uploads/2018/09/How-to-Avoid-Snakes-Slithering-Up-Your-Toilet-shutterstock_780480850.jpg\n",
      "Resolving www.familyhandyman.com (www.familyhandyman.com)... 104.18.201.107, 104.18.202.107, 2606:4700::6812:c96b, ...\n",
      "Connecting to www.familyhandyman.com (www.familyhandyman.com)|104.18.201.107|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 93996 (92K) [image/jpeg]\n",
      "Saving to: ‘./data/img3.JPG’\n",
      "\n",
      "./data/img3.JPG     100%[===================>]  91.79K  --.-KB/s    in 0.009s  \n",
      "\n",
      "2021-03-09 23:53:54 (9.97 MB/s) - ‘./data/img3.JPG’ saved [93996/93996]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!mkdir data\n",
    "!wget  -O ./data/img0.JPG \"https://d17fnq9dkz9hgj.cloudfront.net/breed-uploads/2018/08/siberian-husky-detail.jpg?bust=1535566590&width=630\"\n",
    "!wget  -O ./data/img1.JPG \"https://www.hakaimagazine.com/wp-content/uploads/header-gulf-birds.jpg\"\n",
    "!wget  -O ./data/img2.JPG \"https://www.artis.nl/media/filer_public_thumbnails/filer_public/00/f1/00f1b6db-fbed-4fef-9ab0-84e944ff11f8/chimpansee_amber_r_1920x1080.jpg__1920x1080_q85_subject_location-923%2C365_subsampling-2.jpg\"\n",
    "!wget  -O ./data/img3.JPG \"https://www.familyhandyman.com/wp-content/uploads/2018/09/How-to-Avoid-Snakes-Slithering-Up-Your-Toilet-shutterstock_780480850.jpg\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will also use a batch of random pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generated input random images with shape (N, H, W, C) = (128, 224, 224, 3)\n"
     ]
    }
   ],
   "source": [
    "input = get_dummy_images(128)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run inference with TF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "output shape (128, 1000)\n",
      "Benchmarking with batch size 128\n",
      "Steps 0-50 average: 98.4ms\n",
      "Latency: 98.38+/-0.27ms\n",
      "Throughput: 1301 images/s\n"
     ]
    }
   ],
   "source": [
    "func, _ = get_func_from_saved_model('resnet_v2_50_saved_model')\n",
    "\n",
    "output = func(input)\n",
    "\n",
    "print('output shape',output['predictions'].shape)\n",
    "\n",
    "res = predict_and_benchmark_throughput(input, func, N_run=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test the model on real data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.preprocessing import image\n",
    "from tensorflow.keras.applications.resnet_v2 import preprocess_input, decode_predictions\n",
    "\n",
    "def infer_real_images(func, img_shape=(224,224)):\n",
    "    for i in range(4):\n",
    "        img_path = './data/img%d.JPG'%i\n",
    "        img = image.load_img(img_path, target_size=img_shape)\n",
    "        x = image.img_to_array(img)\n",
    "        x = np.expand_dims(x, axis=0)\n",
    "        x = preprocess_input(x)\n",
    "    \n",
    "        preds = func(tf.convert_to_tensor(x))['predictions'].numpy()\n",
    "        # decode the results into a list of tuples (class, description, probability)\n",
    "        # (one such list for each sample in the batch)\n",
    "        print('{} - Predicted: {}'.format(img_path, decode_predictions(preds, top=3)[0]))\n",
    "\n",
    "        plt.subplot(2,2,i+1)\n",
    "        plt.imshow(img);\n",
    "        plt.axis('off');\n",
    "        plt.title(decode_predictions(preds, top=3)[0][0][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/img0.JPG - Predicted: [('n02110063', 'malamute', 0.73554087), ('n02110185', 'Siberian_husky', 0.2257028), ('n02109961', 'Eskimo_dog', 0.03875375)]\n",
      "./data/img1.JPG - Predicted: [('n01820546', 'lorikeet', 0.9192959), ('n01828970', 'bee_eater', 0.03873083), ('n01818515', 'macaw', 0.029653538)]\n",
      "./data/img2.JPG - Predicted: [('n02481823', 'chimpanzee', 0.99841666), ('n02480495', 'orangutan', 0.0006552139), ('n02480855', 'gorilla', 0.00033606443)]\n",
      "./data/img3.JPG - Predicted: [('n01729977', 'green_snake', 0.7426083), ('n01749939', 'green_mamba', 0.20165916), ('n01739381', 'vine_snake', 0.025560377)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "infer_real_images(func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert the model with TF-TRT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def trt_convert(input_path, output_path, input_shapes, explicit_batch=False):\n",
    "    conv_params=trt.TrtConversionParams(\n",
    "        precision_mode='FP16', minimum_segment_size=3,\n",
    "        max_workspace_size_bytes=1<<30, maximum_cached_engines=1)\n",
    "    converter = trt.TrtGraphConverterV2(\n",
    "        input_saved_model_dir=input_path, conversion_params=conv_params,\n",
    "        use_dynamic_shape=explicit_batch, dynamic_shape_profile_strategy='Optimal')\n",
    "\n",
    "    converter.convert()\n",
    "    def input_fn():\n",
    "        for shapes in input_shapes:\n",
    "            # return a list of input tensors\n",
    "            yield [np.ones(shape=x).astype(np.float32) for x in shapes]\n",
    "\n",
    "    converter.build(input_fn)\n",
    "    converter.save(output_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert using implicit batch mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Linked TensorRT version: (7, 2, 1)\n",
      "INFO:tensorflow:Loaded TensorRT version: (7, 2, 1)\n",
      "INFO:tensorflow:Assets written to: resnet_v2_50_trt/assets\n"
     ]
    }
   ],
   "source": [
    "trt_convert(input_path=\"resnet_v2_50_saved_model\", output_path=\"resnet_v2_50_trt\",\n",
    "            input_shapes=[[input.shape]], \n",
    "            explicit_batch=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load converted model and check difference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "trt_func, _ = get_func_from_saved_model('resnet_v2_50_trt')\n",
    "\n",
    "trt_output = trt_func(input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0041029155"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff = output['predictions'] - trt_output['predictions']\n",
    "np.max(np.abs(diff.numpy()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test the the converted model on real images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/img0.JPG - Predicted: [('n02110063', 'malamute', 0.72939986), ('n02110185', 'Siberian_husky', 0.2331302), ('n02109961', 'Eskimo_dog', 0.03746743)]\n",
      "./data/img1.JPG - Predicted: [('n01820546', 'lorikeet', 0.91486347), ('n01828970', 'bee_eater', 0.040196296), ('n01818515', 'macaw', 0.03155043)]\n",
      "./data/img2.JPG - Predicted: [('n02481823', 'chimpanzee', 0.99837756), ('n02480495', 'orangutan', 0.0006608816), ('n02480855', 'gorilla', 0.00035651863)]\n",
      "./data/img3.JPG - Predicted: [('n01729977', 'green_snake', 0.73841965), ('n01749939', 'green_mamba', 0.20505172), ('n01739381', 'vine_snake', 0.02566523)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "infer_real_images(trt_func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Benchmark converted model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 128\n",
      "Steps 0-50 average: 24.1ms\n",
      "Steps 50-100 average: 24.0ms\n",
      "Steps 100-150 average: 24.0ms\n",
      "Steps 150-200 average: 24.0ms\n",
      "Steps 200-250 average: 24.0ms\n",
      "Steps 250-300 average: 23.9ms\n",
      "Steps 300-350 average: 23.9ms\n",
      "Steps 350-400 average: 23.9ms\n",
      "Steps 400-450 average: 23.9ms\n",
      "Latency: 23.98+/-0.17ms\n",
      "Throughput: 5338 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input, trt_func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check with different batch sizes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generated input random images with shape (N, H, W, C) = (1, 224, 224, 3)\n",
      "Benchmarking with batch size 1\n",
      "Steps 0-50 average:  3.0ms\n",
      "Steps 50-100 average:  3.0ms\n",
      "Steps 100-150 average:  3.0ms\n",
      "Steps 150-200 average:  3.0ms\n",
      "Steps 200-250 average:  3.0ms\n",
      "Steps 250-300 average:  3.0ms\n",
      "Steps 300-350 average:  3.0ms\n",
      "Steps 350-400 average:  3.0ms\n",
      "Steps 400-450 average:  3.0ms\n",
      "Latency:  2.99+/-0.16ms\n",
      "Throughput: 334 images/s\n",
      "Generated input random images with shape (N, H, W, C) = (8, 224, 224, 3)\n",
      "Benchmarking with batch size 8\n",
      "Steps 0-50 average:  3.9ms\n",
      "Steps 50-100 average:  3.9ms\n",
      "Steps 100-150 average:  3.9ms\n",
      "Steps 150-200 average:  3.9ms\n",
      "Steps 200-250 average:  3.9ms\n",
      "Steps 250-300 average:  3.9ms\n",
      "Steps 300-350 average:  3.9ms\n",
      "Steps 350-400 average:  3.9ms\n",
      "Steps 400-450 average:  3.9ms\n",
      "Latency:  3.90+/-0.13ms\n",
      "Throughput: 2053 images/s\n",
      "Generated input random images with shape (N, H, W, C) = (32, 224, 224, 3)\n",
      "Benchmarking with batch size 32\n",
      "Steps 0-50 average:  8.0ms\n",
      "Steps 50-100 average:  8.0ms\n",
      "Steps 100-150 average:  8.0ms\n",
      "Steps 150-200 average:  8.0ms\n",
      "Steps 200-250 average:  8.0ms\n",
      "Steps 250-300 average:  7.9ms\n",
      "Steps 300-350 average:  8.0ms\n",
      "Steps 350-400 average:  8.0ms\n",
      "Steps 400-450 average:  7.9ms\n",
      "Latency:  7.96+/-0.08ms\n",
      "Throughput: 4020 images/s\n",
      "Generated input random images with shape (N, H, W, C) = (64, 224, 224, 3)\n",
      "Benchmarking with batch size 64\n",
      "Steps 0-50 average: 13.5ms\n",
      "Steps 50-100 average: 13.5ms\n",
      "Steps 100-150 average: 13.5ms\n",
      "Steps 150-200 average: 13.5ms\n",
      "Steps 200-250 average: 13.5ms\n",
      "Steps 250-300 average: 13.5ms\n",
      "Steps 300-350 average: 13.5ms\n",
      "Steps 350-400 average: 13.5ms\n",
      "Steps 400-450 average: 13.5ms\n",
      "Latency: 13.51+/-0.07ms\n",
      "Throughput: 4737 images/s\n"
     ]
    }
   ],
   "source": [
    "input1 = get_dummy_images(1)\n",
    "res = predict_and_benchmark_throughput(input1, trt_func)\n",
    "\n",
    "input8 = get_dummy_images(8)\n",
    "res = predict_and_benchmark_throughput(input8, trt_func)\n",
    "\n",
    "input32 = get_dummy_images(32)\n",
    "res = predict_and_benchmark_throughput(input32, trt_func)\n",
    "\n",
    "input64 = get_dummy_images(64)\n",
    "res = predict_and_benchmark_throughput(input64, trt_func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert in dynamic mode\n",
    "We convert for a single input shape first, just to test whether we get the same perf as in implicit batch mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Linked TensorRT version: (7, 2, 1)\n",
      "INFO:tensorflow:Loaded TensorRT version: (7, 2, 1)\n",
      "INFO:tensorflow:Assets written to: resnet_v2_50_trt_ds/assets\n"
     ]
    }
   ],
   "source": [
    "trt_convert(input_path=\"resnet_v2_50_saved_model\", output_path=\"resnet_v2_50_trt_ds\",\n",
    "            input_shapes=[[input.shape]], \n",
    "            explicit_batch=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "trt_func_ds, _ = get_func_from_saved_model('resnet_v2_50_trt_ds')\n",
    "trt_output = trt_func_ds(input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0041029155"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff = output['predictions'] - trt_output['predictions']\n",
    "np.max(np.abs(diff.numpy()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/img0.JPG - Predicted: [('n02110063', 'malamute', 0.72939986), ('n02110185', 'Siberian_husky', 0.2331302), ('n02109961', 'Eskimo_dog', 0.03746743)]\n",
      "./data/img1.JPG - Predicted: [('n01820546', 'lorikeet', 0.91486347), ('n01828970', 'bee_eater', 0.040196296), ('n01818515', 'macaw', 0.03155043)]\n",
      "./data/img2.JPG - Predicted: [('n02481823', 'chimpanzee', 0.99837756), ('n02480495', 'orangutan', 0.0006608816), ('n02480855', 'gorilla', 0.00035651863)]\n",
      "./data/img3.JPG - Predicted: [('n01729977', 'green_snake', 0.73841965), ('n01749939', 'green_mamba', 0.20505172), ('n01739381', 'vine_snake', 0.02566523)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "infer_real_images(trt_func_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 128\n",
      "Steps 0-50 average: 24.0ms\n",
      "Steps 50-100 average: 24.0ms\n",
      "Steps 100-150 average: 24.0ms\n",
      "Steps 150-200 average: 24.0ms\n",
      "Steps 200-250 average: 24.0ms\n",
      "Steps 250-300 average: 24.0ms\n",
      "Steps 300-350 average: 24.0ms\n",
      "Steps 350-400 average: 24.0ms\n",
      "Steps 400-450 average: 24.0ms\n",
      "Latency: 23.98+/-0.05ms\n",
      "Throughput: 5337 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input, trt_func_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert with multiple profiles and benchmark\n",
    "Here we show that we can have a single engine that is optimized to infer with various batch sizes: 1, 8, 32"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Linked TensorRT version: (7, 2, 1)\n",
      "INFO:tensorflow:Loaded TensorRT version: (7, 2, 1)\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).trt_engine_resources.TRTEngineOp_0_0._serialized_trt_resource_filename\n",
      "WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.\n",
      "INFO:tensorflow:Assets written to: resnet_v2_50_trt_ds2/assets\n"
     ]
    }
   ],
   "source": [
    "img_shape = [224, 224, 3]\n",
    "trt_convert(input_path=\"resnet_v2_50_saved_model\", output_path=\"resnet_v2_50_trt_ds2\",\n",
    "            input_shapes=[[[1] + img_shape,], \n",
    "                          [[8] + img_shape,], \n",
    "                          [[32] + img_shape,],\n",
    "                          [[64] + img_shape,],\n",
    "                          [[128] + img_shape,]], \n",
    "            explicit_batch=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "trt_func_ds2, _ = get_func_from_saved_model('resnet_v2_50_trt_ds2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Batch size 128\n",
    "Same results as before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 128\n",
      "Steps 0-50 average: 24.0ms\n",
      "Steps 50-100 average: 24.0ms\n",
      "Steps 100-150 average: 24.0ms\n",
      "Steps 150-200 average: 24.0ms\n",
      "Steps 200-250 average: 24.0ms\n",
      "Steps 250-300 average: 24.0ms\n",
      "Steps 300-350 average: 24.0ms\n",
      "Steps 350-400 average: 24.0ms\n",
      "Steps 400-450 average: 24.0ms\n",
      "Latency: 24.00+/-0.06ms\n",
      "Throughput: 5334 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input, trt_func_ds2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Batch size 1\n",
    "We compare the implicit batch engine to the dynamic shape engine. Note, that the implicit batch engine handles batch sizes 1..32, and it was optimized for N=32. The dynamic shape engine has a profile optimized for N=1, therefore it is faster (1.5 ms vs 2.2ms in implicit batch mode, measured on a V100 16GB card)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 1\n",
      "Steps 0-50 average:  1.6ms\n",
      "Steps 50-100 average:  1.6ms\n",
      "Steps 100-150 average:  1.6ms\n",
      "Steps 150-200 average:  1.6ms\n",
      "Steps 200-250 average:  1.6ms\n",
      "Steps 250-300 average:  1.6ms\n",
      "Steps 300-350 average:  1.6ms\n",
      "Steps 350-400 average:  1.6ms\n",
      "Steps 400-450 average:  1.6ms\n",
      "Latency:  1.58+/-0.04ms\n",
      "Throughput: 632 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input1, trt_func_ds2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Batch size 8\n",
    "This is also faster with the dynamic shape engine 2.7 ms vs 3.1 in implicit batch mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 8\n",
      "Steps 0-50 average:  2.9ms\n",
      "Steps 50-100 average:  3.0ms\n",
      "Steps 100-150 average:  3.0ms\n",
      "Steps 150-200 average:  2.9ms\n",
      "Steps 200-250 average:  2.9ms\n",
      "Steps 250-300 average:  3.0ms\n",
      "Steps 300-350 average:  2.9ms\n",
      "Steps 350-400 average:  2.9ms\n",
      "Steps 400-450 average:  2.9ms\n",
      "Latency:  2.95+/-0.13ms\n",
      "Throughput: 2710 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input8, trt_func_ds2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 32\n",
      "Steps 0-50 average:  7.5ms\n",
      "Steps 50-100 average:  7.6ms\n",
      "Steps 100-150 average:  7.7ms\n",
      "Steps 150-200 average:  7.5ms\n",
      "Steps 200-250 average:  7.5ms\n",
      "Steps 250-300 average:  7.5ms\n",
      "Steps 300-350 average:  7.5ms\n",
      "Steps 350-400 average:  7.5ms\n",
      "Steps 400-450 average:  7.5ms\n",
      "Latency:  7.56+/-0.34ms\n",
      "Throughput: 4231 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input32, trt_func_ds2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Benchmarking with batch size 64\n",
      "Steps 0-50 average: 13.3ms\n",
      "Steps 50-100 average: 13.3ms\n",
      "Steps 100-150 average: 13.3ms\n",
      "Steps 150-200 average: 13.3ms\n",
      "Steps 200-250 average: 13.3ms\n",
      "Steps 250-300 average: 13.3ms\n",
      "Steps 300-350 average: 13.3ms\n",
      "Steps 350-400 average: 13.3ms\n",
      "Steps 400-450 average: 13.3ms\n",
      "Latency: 13.31+/-0.07ms\n",
      "Throughput: 4808 images/s\n"
     ]
    }
   ],
   "source": [
    "res = predict_and_benchmark_throughput(input64, trt_func_ds2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f1437f31f28>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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58+bNo7S0lO7du1fGVvW0TElEBH369OHFF1+sd2xmVnhu8TeS8vJyLr30UsaNG1eZDC+++GLGjx/PwIEDd2h1V7Vu3To6depEu3btWLp0KS+99FKDYxk+fDh33nln5esPP/xwu/KNGzeybt06TjnlFG655RZeffXVOmPr2rUrpaWlzJo1i7fe+mSk17fffrsywT/44IMcc8wx9OrVi/Ly8srpmzdvZtGiRQ3eHjNrXC2mxZ/P6ZeN7eOPP2bAgAGVp3Oed955fOc736ksP/LII9lzzz254IIL6qxrxIgRTJ48mUMPPZRevXoxePDgBsd19dVXc9lll3HYYYdRUlLCNddcw5lnnllZvmHDBk477TQ2bdpERHDzzTfXUhuce+65fOlLX6Jv376UlZVxyCGHVJb16tWLO++8kwsvvJDevXszduxYdtttN6ZNm8b48eNZt24dW7Zs4fLLL6dPnz4N3iYzazzN4p67ZWVlUfVGLEuWLOHQQw8tUkT5ee+99zjuuONYunRpUc7tL7QVK1YwcuRIFi5s0Dh7zeI9tJYji6dzSpoXETuc593ystEu4v777+eoo47ihhtuaJFJ38yarxbT1bOrOf/88zn//POLHUZBde/evcGtfTMrHjdFzcwyxonfzCxjnPjNzDLGid/MLGNazMHdm266qVHry+cUqqOPPpoXXnhhp9f13HPPMWnSJGbMmMFjjz3G4sWLK8fJqW29K1as4IUXXuCcc86ptc583XrrrYwZM2a7IRyquvbaa2nfvv12A7uZWfPiFv9OaIykX9Wpp55aa9LPXe+KFSt48MEHG23dt956a+XommbWcjnx74T27dsDSet6yJAhnHbaafTs2ZOJEyfywAMPMGjQIPr27csbb7wBJDc6ufTSSykrK+Nzn/tcta3xqVOnMm7cOABWr17NGWecQf/+/enfv39lwq9Y78SJE/nDH/7AgAEDuOWWW3aoa/369Xzxi1+kV69eXHrppWzbtg2AsWPHUlZWRp8+fbjmmmuAZIC49957j6FDhzJ06FAAnnjiCY444gj69+/PsGHDKutdvHhxtcNKm1nz0GK6eort1VdfZcmSJXTu3JmePXty8cUXM2fOHG677TZ+9rOfceuttwJJK33OnDm88cYbDB06lNdff73GOsePH8+QIUOYPn06W7duZePGjduV33jjjbV258yZM4fFixdz4IEHMmLECB555BFGjRrFDTfcQOfOndm6dSvDhg1j/vz5jB8/nptvvplZs2ax9957U15eziWXXMLs2bPp0aMHf/3rXyvrXbp0KbNmzWLDhg306tWLsWPHUlpauvM70cyahFv8jWTgwIF069aN3XffnYMOOogTTzwRYIehk8866yxatWrFwQcfTM+ePVm6dGmNdT777LOMHTsWSEbx7NixY71iGjRoED179qSkpISzzz6b559/HoCHHnqII444gsMPP5xFixaxePHiHZZ96aWXOPbYY+nRowcAnTt3riyraVhpM2se3OJvJLnDGdc2dHJ1wxgXSnXrWr58OZMmTeLPf/4znTp1YvTo0ZVDLOerumGlzaz5cIu/if32t79l27ZtvPHGG7z55pv06tWrxnmHDRvG3XffDcDWrVtZt27dduUdOnRgw4YNNS4/Z84cli9fzrZt2/jNb37DMcccw/r169ljjz3o2LEjq1ev5vHHH6+2vsGDBzN79myWL18OsF1Xj5k1by2mxV+IGxIXwgEHHMCgQYNYv349kydPpk2bNjXOe9tttzFmzBjuueceSkpKuPvuu/n85z9fWd6vXz9KSkro378/o0eP5oorrthu+YEDBzJu3Dhef/11hg4dyhlnnEGrVq04/PDDOeSQQ7a7exbAmDFjGDFiBPvuuy+zZs1iypQpnHnmmWzbto2uXbsyc+bMxt8hZtbkPCxzExo9ejQjR45k1KhRxQ5ll9Ac30Nrvjws8yfc1WNmljEtpqunOZg6dWqxQzAza94t/ubQTWXV83tnVjzNNvG3adOGtWvXOoE0QxHB2rVraz2wbWaF02y7evbbbz9WrlxJeXl5sUOxBmjTpg377bdfscMwy6Rmm/hLS0srryo1M7P8NduuHjMzaxgnfjOzjClY4pe0v6RZkhZLWiTp2+n0zpJmSnot/dupUDGYmdmOCtni3wJMiIjewGDgMkm9gYnAMxFxMPBM+trMzJpIwRJ/RKyKiJfT5xuAJcBngNOA+9LZ7gNOL1QMZma2oybp45fUHTgc+BOwT0SsSoveB/apYZkxkuZKmutTNs3MGk/BE7+k9sDDwOURsT63LJKrr6q9AisipkREWUSUdenSpdBhmpllRkETv6RSkqT/QEQ8kk5eLalbWt4NWFPIGMzMbHuFPKtHwD3Akoi4OafoMeDr6fOvA48WKgYzM9tRIa/c/QJwHrBA0ivptKuAG4GHJF0EvAWcVcAYzMysioIl/oh4HqjpzgfDCrVeMzOrna/cNTPLGCd+M7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4wpWOKXdK+kNZIW5ky7VtK7kl5JH6cUav1mZla9Qrb4pwIjqpl+S0QMSB+/L+D6zcysGq3zmUlSV+ALwL7Ax8BCYG5EbKtpmYiYLal7YwRpZmaNp9YWv6Shkp4E/hs4GegG9AauBhZIuk7SnvVc5zhJ89OuoE61rHuMpLmS5paXl9dzFWZmVpO6WvynAJdExNtVCyS1BkYCw4GH81zf3cD1QKR/bwIurG7GiJgCTAEoKyuLPOs3M7M61Jr4I+J7tZRtAX5Xn5VFxOqK55J+Dsyoz/JmZrbz8jq4K+nbkvZU4h5JL0s6sb4rk9Qt5+UZJMcKzMysCeV7Vs+FEbEeOBHoBJwH3FjbApJ+DbwI9JK0UtJFwE8lLZA0HxgKXNHw0M3MrCHyOqsHUPr3FOA/ImKRJNW2QEScXc3ke+oTnJmZNb58W/zzJD1FkviflNQBqPFUTjMz23Xl2+K/CBgAvBkRH0naC7igYFGZmVnB5JX4I2KbpC3AselpnBXmFyYsMzMrlHyv3L0X6Acs4pMungAeKVBcZmZWIPl29QyOiN4FjcTMzJpEvgd3X5TkxG9m1gLk2+K/nyT5vw/8g+T0zoiIfgWLzMzMCiLfxH8PyUVbC/BpnGaW46abbipY3RMmTChY3VmWb+Ivj4jHChqJmZk1iXwT//9IehD4L5KuHgAiwmf1mDUDVz5V64X2O6UrkwpWtxVGvom/LUnCzx2Yzadzmpk1Q/lewOWrdM3MWoi67sB1taTOtZQfL2lk44dlZmaFUleLfwHwX5I2AS8D5UAb4GCSsXueBn5SyADNzKxx1XUHrkeBRyUdTHKz9W7AeuBXwJiI+LjwIZqZWWPKt4//NeC1AsdiZmZNIN8hG8zMrIVw4jczyxgnfjOzjMkr8Uv6nKRnJC1MX/eTdHVhQzMzs0LIt8X/c+AHwGaAiJgPfLVQQZmZWeHkm/jbRcScKtO2NHYwZmZWePkm/g8kHUQyPg+SRgGrChaVmZkVTL6DtF0GTAEOkfQusBz4WsGiMjOzgsn3Aq43gRMk7QG0iogNhQ3LzMwKJa/EL+lTwPlAd6C1lIztHRHjCxWYmZkVRr5dPb8HXsK3XjQza/byTfxtIuI7BY3EzMyaRL5n9fyHpEskdZPUueJR0MjMzKwg8m3x/xP4N+CHpKd0pn97FiIoMzMrnHwT/wTgsxHxQSGDMTOzwsu3q+d14KNCBmJmZk0j3xb/34FXJM0C/lEx0adzmpk1P/km/t+lDzMza+byvXL3vvpWLOleYCSwJiIOS6d1Bn5DciHYCuCsiPiwvnWbmVnD1drHL+mh9O8CSfOrPuqoeyowosq0icAzEXEw8Ez62szMmlBdLf5vp39H1rfiiJgtqXuVyacBx6XP7wOeA66sb91mZtZwtbb4I6Ji6OVvRsRbuQ/gmw1Y3z45db4P7NOAOszMbCfkezrn8GqmnbwzK46I4JOLwXYgaYykuZLmlpeX78yqzMwsR119/GMlLQB6VenfXw7U1cdfndWSuqV1dwPW1DRjREyJiLKIKOvSpUsDVmVmZtWpq4//QeBx4F/Y/kDshoj4awPW9xjwdeDG9O+jDajDzMx2Qq2JPyLWAeuAs+tbsaRfkxzI3VvSSuAakoT/kKSLgLeAs+pbr5mZ7Zx8L+Cqt4io6cdiWKHWaWZmdcv34K6ZmbUQTvxmZhnjxG9mljFO/GZmGePEb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG9mljFO/GZmGePEb2aWMU78ZmYZU7BB2syy4KabbipY3RMmTChY3ZZtbvGbmWWME7+ZWcY48ZuZZYz7+C0TrnxKBam3K5MKUq9ZIbnFb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG9mljFO/GZmGePEb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG9mljFO/GZmGePEb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG9mljFFuQOXpBXABmArsCUiyooRh5lZFhXz1otDI+KDIq7fzCyT3NVjZpYxxUr8ATwlaZ6kMUWKwcwsk4rV1XNMRLwrqSswU9LSiJidO0P6gzAG4IADDihGjGZmLVJRWvwR8W76dw0wHRhUzTxTIqIsIsq6dOnS1CGambVYTZ74Je0hqUPFc+BEYGFTx2FmllXF6OrZB5guqWL9D0bEE0WIw8wsk5o88UfEm0D/pl6vmZklfDqnmVnGOPGbmWWME7+ZWcY48ZuZZUwxx+qxFuCmm24qSL0TJkwoSL1m5ha/mVnmOPGbmWWME7+ZWcY48ZuZZYwTv5lZxjjxm5lljBO/mVnG+Dz+neBz2M2sOXLiz4Arn1LB6u7KpILVbWaF4a4eM7OMceI3M8sYJ34zs4xx4jczyxgnfjOzjHHiNzPLGCd+M7OMceI3M8sYJ34zs4xx4jczy5gWP2SDhyswM9ueW/xmZhnjxG9mljFO/GZmGePEb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG9mljFO/GZmGePEb2aWMUVJ/JJGSFom6XVJE4sRg5lZVjV54pdUAtwJnAz0Bs6W1Lup4zAzy6pitPgHAa9HxJsR8U/gP4HTihCHmVkmKSKadoXSKGBERFycvj4POCoixlWZbwwwJn3ZC1jWpIHmZ2/gg2IHUWRZ3wdZ337wPoBddx8cGBFdqk7cZYdljogpwJRix1EbSXMjoqzYcRRT1vdB1rcfvA+g+e2DYnT1vAvsn/N6v3SamZk1gWIk/j8DB0vqIWk34KvAY0WIw8wsk5q8qycitkgaBzwJlAD3RsSipo6jkezSXVFNJOv7IOvbD94H0Mz2QZMf3DUzs+LylbtmZhnjxG9mljFO/A0g6V5JayQtLHYsxSLpCkmLJC2U9GtJbYodU6FJaiNpjqRX022/Lp3+QDoEycL0s1Fa7FgLSdKnJE2TtFTSEkmfzymbICkk7V3MGBtTdd93Sf+Wbv98SdMlfSqdXirpPkkL0n3zg6IFXgsn/oaZCowodhDFIukzwHigLCIOIzlI/9XiRtUk/gEcHxH9gQHACEmDgQeAQ4C+QFvg4qJF2DRuA56IiEOA/sASAEn7AycCbxcxtkKYyo7f95nAYRHRD/gLUJHgvwzsHhF9gSOBb0jq3kRx5s2JvwEiYjbw12LHUWStgbaSWgPtgPeKHE/BRWJj+rI0fURE/D4tC2AOybUpLZKkjsCxwD0AEfHPiPhbWnwL8H2gRZ0xUt33PSKeiogt6cuX+OQ9D2CP9HvRFvgnsL6pYs2XE7/VW0S8C0wiadmtAtZFxFPFjappSCqR9AqwBpgZEX/KKSsFzgOeKFJ4TaEHUA78UtL/SPqFpD0knQa8GxGvFjm+YrgQeDx9Pg34O8n34m1gUkTsco1EJ36rN0mdSAbW6wHsS9LC+Vpxo2oaEbE1IgaQtPAGSTosp/guYHZE/KEowTWN1sARwN0RcThJkrsWuAr4URHjKgpJPwS2kHT3QTII5VaS70UPYIKknkUKr0ZO/NYQJwDLI6I8IjYDjwBHFzmmJpV2b8wi7fuVdA3QBfhOEcNqCiuBlTn/6Uwj+SHoAbwqaQXJj+LLkj5dnBCbhqTRwEjg3PjkgqhzSI5/bI6INcAfgV1uDB8nfmuIt4HBktpJEjCM9ABfSyapS87ZG22B4cBSSRcDJwFnR8S2IoZYcBHxPvCOpF7ppGHAyxHRNSK6R0R3kh+HI9J5WyRJI0iOZ5waER/lFL0NHJ/OswcwGFja9BHWzom/AST9GngR6CVppaSLih1TU0pbe9OAl4EFJJ+jZnXJegN1A2ZJmk8y5tTMiJgBTAb2AV6U9Iqklt7l8S3ggXQ/DAB+UtxwCquG7/sdQAdgZvqeT05nvxNoL2kRyWfklxExvyiB18JDNpiZZYxb/GZmGePEb2aWMU78ZmYZ48RvZpYxTvxmZhnjxG8tlqTu9R1BVdJoSfvmMc8dDYzpUknnN2RZs8bS5LdeNNvFjQYWUqBB5yJict1zmRWWW/zW0rVOx8tfko4h3w5A0o8k/TkdQ3+KEqNILq9/IL0op62kgZJeSMfgnyOpQ1rvvpKekPSapJ9Wt2JJN0panI7ZPimddq2k70raN11HxWOrpAPTq4MfTmP7s6QvNMleskxx4reWrhdwV0QcSjI87jfT6XdExMD0fgJtgZERMQ2YSzL2ygCSwbZ+A3w7HYP/BODjdPkBwFdIxuD/SjoWfSVJewFnAH3SMdt/nFseEe9FxIB0PT8HHo6It0jGur8lIgYC/xv4RaPtCbOUE7+1dO9ExB/T578CjkmfD5X0J0kLSMZW6VPNsr2AVRHxZ4CIWJ8zBvszEbEuIjYBi4EDqyy7DtgE3CPpTOAjqpG26C8hGdoXkh+XO9Khnx8D9pTUvl5bbFYH9/FbS1d1TJJQcpvIu0juIPaOpGuB+t468h85z7dS5bsUEVskDSIZxGwUMI508K4KkrqR3NDk1JwbvLQCBqc/KGYF4Ra/tXQH5NwT9hzgeT5J8h+krelROfNvIBl8C2AZ0E3SQABJHdI7K9UprbdjRPweuILkFoW55aXAb4ErI+IvOUVPkQyCVjHfgHzWZ1YfTvzW0i0DLpO0BOhEcgORv5H0qy8EniQZRbHCVGBy2tVSQtKP/zNJr5LcZzXf/ww6ADPSESyfZ8dx+o8mOZB8Xc4B3n1J72WcHhBeDFxaz+01q5NH5zQzyxi3+M3MMsaJ38wsY5z4zcwyxonfzCxjnPjNzDLGid/MLGOc+M3MMub/A2/2IS7yLeNgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "nvgreen = np.array((118, 185, 0)) / 255\n",
    "medium_gray = np.array([140, 140, 140])/255\n",
    "\n",
    "labels = ['1', '8', '32', '64', '128']\n",
    "\n",
    "# Latency time for dynamic shae and implicit batch benchmarks\n",
    "ds_time = [1.6, 2.9, 7.5, 13.3, 24.0]\n",
    "impl_time = [2.99, 3.9, 7.96, 13.5, 23.98]\n",
    "\n",
    "x = np.arange(len(labels))  # the label locations\n",
    "width = 0.35  # the width of the bars\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rects1 = ax.bar(x - width/2, ds_time, width, color=nvgreen, label='Dynamic shape')\n",
    "rects2 = ax.bar(x + width/2, impl_time, width, color=medium_gray, label='implicit batch')\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('time (ms)')\n",
    "ax.set_title('Inference latency (single TRT engine)')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xlabel('batch size')\n",
    "ax.set_xticklabels(labels)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
